Posts tagged jupyter
Report from the JupyterLite workshop: WebAssembly is pretty cool
- 10 December 2022
I recently attended the JupyterLite community workshop in Paris, here are some quick thoughts from the three-day event[1].
For those without any background, JupyterLite is a distribution of Jupyter’s user interfaces and a Python kernel that runs entirely in the browser.
Its goal is to provide a low-overhead and accessible way to use a Jupyter interface via the browser.
See the jupyterlite documentation for more information.
A new blog with Sphinx
- 10 October 2020
I recently re-wrote all of the infrastructure for my blog so that it now builds on top of the Sphinx ecosystem! This is a short post to describe the reasons for doing so, and a bit about the implementation.
This is a great question. The answer to “should you re-work your blog to use a new SSG” is almost always “no, it’s a waste of your time”, but I think I had a few good reasons ;-)
Thoughts from the Jupyter team meeting 2019
- 30 March 2019
I just got back from a week-long Jupyter team meeting that was somehow both very tiring and energizing at the same time. In the spirit of openness, I’d like to share some of my experience. While it’s still fresh in my mind, here are a few takeaways that occurred to me throughout the week.
Note that these are my personal (rough) impressions, but they shouldn’t be taken as a statement from the project/community itself.
Summer conference report back
- 01 August 2018
This is a short update on several of the conferences and workshops over the summer of this year. There’s all kinds of exciting things going on in open source and open communities, so this is a quick way for me to collect my thoughts on some things I’ve learned this summer.
Pangeo is a project that provides access to a gigantic geosciences dataset. They use lots of tools in the open-source community, including Dask for efficient numerical computation, the SciPy stack for a bunch of data analytics, and JupyterHub on Kubernetes for managing user instances and deploying on remote infrastructure. Pangeo has a neat demo of their hosted JupyterHub instance that people can use to access this otherwise-inaccessible dataset! See their video from SciPy below.